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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 8 new columns ({'augmentation id', 'Augmentation type', 'File ID', 'Classname', 'source', 'Duration in ms', 'Class ID', 'Filename'}) and 4 missing columns ({'start_time', 'audiocap_id', 'youtube_id', 'caption'}).
This happened while the csv dataset builder was generating data using
hf://datasets/gijs/audio-datasets/NonSpeech7k/train.csv (at revision cf2b5b79efac903d72c606e60724656a3356cba2)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Filename: string
File ID: string
Duration in ms: int64
Class ID: int64
Classname: string
augmentation id: int64
Augmentation type: string
source: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1225
to
{'audiocap_id': Value(dtype='int64', id=None), 'youtube_id': Value(dtype='string', id=None), 'start_time': Value(dtype='int64', id=None), 'caption': Value(dtype='string', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1417, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1049, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 8 new columns ({'augmentation id', 'Augmentation type', 'File ID', 'Classname', 'source', 'Duration in ms', 'Class ID', 'Filename'}) and 4 missing columns ({'start_time', 'audiocap_id', 'youtube_id', 'caption'}).
This happened while the csv dataset builder was generating data using
hf://datasets/gijs/audio-datasets/NonSpeech7k/train.csv (at revision cf2b5b79efac903d72c606e60724656a3356cba2)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
audiocap_id
int64 | youtube_id
string | start_time
int64 | caption
string |
|---|---|---|---|
91,139 | r1nicOVtvkQ | 130 | A woman talks nearby as water pours |
58,146 | UDGBjjwyaqE | 20 | Multiple clanging and clanking sounds |
11,542 | 3eJ9RynJzP8 | 80 | The wind is blowing, insects are singing, and rustling occurs |
11,543 | 3eK62q7SnVU | 390 | The wind is blowing and rustling occurs |
11,540 | 3eGXNIadwGk | 30 | Person is whistling |
11,541 | 3eHYGSux1Ps | 30 | A motorboat cruises along, and a man talks |
11,546 | 3eNWJ4Hle6Y | 210 | The sizzling of food while a dish is clanking |
11,547 | 3eQYsDrfsTc | 20 | Someone has a hiccup while typing |
11,544 | 3eL37ZUN5S4 | 21 | Aircraft engine hum with man and woman speaking |
11,545 | 3eN7ujFJzXQ | 170 | Hissing followed by clanking dishes and speech |
89,378 | pgeooj3u3CM | 200 | A woman is talking the whole time something is sprayed a few times in the middle |
89,379 | pgl_pG7j7d8 | 170 | A man talks nearby as water pours out of a faucet |
11,548 | 3eSIVCoTR2I | 210 | Crackling noise precedes a fly buzzing |
11,549 | 3eZrNSkyUmA | 30 | A dog whimpers quietly |
5,988 | 1OIVJfQTGVk | 30 | Engine revving loudly |
5,989 | 1OIm8vLHCwo | 19 | An adult female speaks and a cat meows |
19,399 | 77gagnj481E | 30 | Child giving a speech and crowd clapping |
19,398 | 77fnehVF7wE | 1 | A dog barks twice and then whimpers |
5,982 | 1O662rM-u0E | 30 | A whoosh sound is heard loudly as a car revs its engines |
5,983 | 1O7-QuhweZE | 19 | Children screaming in the background as the sound of water flowing by |
5,980 | 1O2vHreD6eI | 60 | A motor vehicle engine is running, a decelerating buzzing occurs, mechanical whines occur, and the motor vehicle engine accelerates |
5,981 | 1O5u-mBU2JI | 30 | A man speaking in a foreign language, can hear doves in the background |
5,986 | 1OCyUeuv2-Q | 40 | Men speaking then sneezing |
5,987 | 1OI6GPNHhLg | 30 | A man speaks slowly and with strength |
5,984 | 1OB2TC-aAqY | 30 | A horse galloping |
5,985 | 1OCv1wCGK-s | 30 | A child screams, an adult male is talking and vehicles are revving |
82,441 | kZ7_b_VVumc | 140 | Splashing water with children speaking |
97,479 | vvbK4KaEOTc | 30 | Humming of an engine accelerating and revving |
49,688 | OWhT0Gs-_q8 | 30 | Several explosions burst nearby as people grunt loudly |
83,899 | ld9qe2J9Huk | 80 | Someone snores briefly |
88,395 | oy2b5i_4-20 | 0 | A woman talking and then a cat meowing |
31,736 | DJVEiFFUB6g | 250 | A woman talks while frying something |
88,391 | oxs8A0Cdwwc | 30 | Crashing waves and a gust of wind |
46,139 | MDoHzN4CYYg | 11 | Humming and vibrating of a motor |
82,996 | kxZQJiOLSqE | 20 | Honking of a horn of a passing train |
82,999 | kxirwP8Idn0 | 20 | A man speaks then coughs followed by laughter |
46,131 | MDSDhWhWfL8 | 140 | A train running followed by a train horn |
46,130 | MDRJ8icmjgI | 350 | A domestic animal is snoring and breathing loudly |
53,631 | R8pcOO_A2uE | 0 | Someone whistles nearby |
97,152 | vfbOX5T8YDk | 30 | Steam hissing as a train runs slowly on railroad tracks as gears crank and rumble |
28,561 | Bals78LmH5w | 150 | Children speak and laugh with a man |
54,544 | RmJE9uVdgAk | 23 | A man yelling and ducks in the background |
270 | -5weqk40jaI | 17 | Strong wind against the microphone simultaneously with heavy rain. |
19,972 | 7PFt6ML7enY | 50 | A child cries and yells and an adult speaks in response |
19,971 | 7PBpJ4Uizfw | 30 | Several sirens are wailing and a horn is honked twice |
273 | -62RXhX5GZk | 30 | A dog grunts and an adult male speaks |
274 | -64ZmjOBlE8 | 20 | Water being turned on and off |
275 | -65gZY_yF3o | 17 | Helicopter rotors drumming and squeaking bird |
276 | -668dhzzDQE | 30 | Car engine sound in car race |
277 | -67q0yYR0zk | 24 | People in a small crowd are speaking and a dog barks |
278 | -68677bCJWM | 16 | Distressed cat growling and hissing violently while woman laughs and talks |
279 | -68L7q5JlL4 | 30 | Wind against a microphone on a speeding car |
16,707 | 5sfQQb6HpSc | 210 | A whistle and another man speaks and the whistling stops. |
16,706 | 5seYj-vSnEc | 140 | Two men exchange words, then a car engine revs followed by a siren and fade in music |
16,701 | 5sWgFNwk5zY | 20 | Someone fires a gun with others talking in the background |
16,700 | 5sTt2AMCjSA | 30 | A car is racing away very fast and its tires squeal a little |
16,703 | 5sZnJLp9We4 | 2 | A loud siren whizzes past |
16,702 | 5sXK2pdYAwg | 20 | A woman hiccups and then women laugh and speak |
88,023 | ogXzNVUU3Xk | 20 | Coughing by woman and child, then woman and child speaking |
12,019 | 3qPzSfovVmk | 70 | Truck engine running then a dragging noise |
12,018 | 3qPBmioT8Fo | 30 | A dog is whining and whimpering, and an adult male is speaking |
88,025 | og_JH9cxUeg | 30 | Small frogs croak and chirp |
12,015 | 3qNSaQnzWUs | 30 | The wind is blowing, a horse is trotting, and an adult male speaks |
12,014 | 3qKmsP6BPXM | 30 | A car engine revving |
12,017 | 3qOswVO4sb0 | 30 | A man is speaking |
12,016 | 3qOK68-L2cU | 140 | An aircraft begins its takeoff, buzzing of small engines |
12,011 | 3qA8qMYz3Xw | 30 | A crowd is cheering and shouting, thumping occurs, an adult female speaks, and an adult male speaks |
12,010 | 3q94RIeQJ9Q | 30 | An adult female speaks, tapping occurs, and a dog barks |
12,013 | 3qKKDuwStA8 | 40 | A person is speaking and crumpling paper |
12,012 | 3qC6_t1bjjw | 21 | Two adult females are speaking, a dog is panting, a squeak occurs, and whistling occurs |
17,258 | 689OVglGxKE | 30 | A vehicle revs then explodes while a crowd cheers and an announcer exclaims |
17,259 | 68AJ_1alYNg | 310 | Man speaks while bees buzz |
100,014 | xpRBnXZnRm0 | 370 | A man speaking followed by crinkling |
64,677 | YkWrXaJNpn4 | 320 | A power tool hums and vibrates |
100,012 | xpF_Jeaj7cs | 6 | A man speaking followed by a swoosh then a loud splash, then a man laughs |
64,671 | YkQ12wpHeUc | 0 | Several birds tweet |
100,010 | xpCI-rEY1kM | 140 | A woman speaking with music playing and a toilet flushing |
100,011 | xpE3LXuhJS8 | 210 | Vibrations and humming of a power drill |
17,250 | 67qTV1MDXhc | 100 | A bell chiming |
17,251 | 67r_mSftdjk | 30 | A woman giving a speech |
17,252 | 67rvn9HIZsM | 10 | The chirping of multiple birds accompanies gurgling water and crunching footsteps |
17,253 | 67tVU2CeweE | 30 | A domestic bird whistling |
17,254 | 67yhKQpwvjo | 30 | People speak followed by spraying, then a phone rings |
17,255 | 67zyxZb-wQM | 340 | A round of applause followed by a woman speaking |
17,256 | 6813SgG-6Rk | 8 | A door creaks open slowly |
17,257 | 6850oZZoeb8 | 60 | Traffic sounds are present and ongoing, an adult male is speaking, and metal clicking occurs |
63,024 | XbTazhNR5Cc | 20 | A kid talks followed by a woman talking while several people laugh |
10,709 | 3JNjTAf04rc | 30 | People are talking and pig oinks |
10,708 | 3JLBP8VnukU | 12 | A dog whimpers repeatedly |
9,258 | 2i8L8v2NTsY | 30 | A man gives a speech |
9,259 | 2i8w_CZEprk | 0 | Water flowing, wind blowing, a dog whimpers |
10,703 | 3JAjNVImec4 | 340 | People cheering and race cars racing by |
9,257 | 2i82jVZy1pk | 100 | Some unidentified low sound, followed by a child laughter and a female chuckling |
10,701 | 3J9nGJ5dmsI | 30 | Motorcycle driving away at high speeds |
10,700 | 3J7NzRVaixM | 7 | The wind is blowing, an engine runs, and tires squeal |
9,252 | 2hyT23nJm_4 | 150 | A female speaking, then a baby babbling, then a female cheering and clapping, followed by another female laughing and speaking |
9,253 | 2i-sTS4rNgs | 30 | A big engine is sitting in idle |
9,250 | 2hxTX4mb0bY | 30 | An adult male is speaking, a motor is running, rhythmic vibration, and water is gurgling |
9,251 | 2hxyWkenHI4 | 270 | A rapping sound is present and is echoing in a room, and people in a crowd speak in the background |
101,352 | yuqiS8rSp64 | 30 | Humming and whooshing of a helicopter hovering close |
End of preview.
YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/datasets-cards)
This dataset repository contains all the text files of the datasets analysed in the Survey Paper on Audio Datasets of Scenes and Events. See here for the paper.
The GitHub repository containing the scripts are shared here. Including a bash script to download the audio data for each of the datasets. In this repository, we also included a Python file dataset.py, for easy importing of each of the datasets.
Please respect the original license of the dataset owner when downloading the data:
| Dataset | License |
|---|---|
| ACalt4 | CC BY 4.0, MIT |
| Adobe Audition SFX | Adobe EULA |
| AF-AudioSet | MIT, OPT-IML |
| AnimalSpeak | CC BY-NC-SA 4.0 |
| AQUALLM | |
| Audio Conversation 10k | BSD 3-clause |
| Audio-ALPACA | Apache 2.0 |
| AudioCaps | CC BY 4.0, MIT |
| AudioCaption | MIT |
| AudioCondition | CC BY 4.0 |
| AudioDiffCaps | CC BY-NC-ND |
| AudioEgoVLP | Ego4D, MIT |
| AudioHallucination | CC BY 4.0 |
| AudioLog | CC BY-NC |
| AudioSet | CC BY 4.0 |
| AudioSet Dialogues | CC BY 4.0 |
| AudioSet Strong | CC BY 4.0 |
| AudioSetMix | CC BY 4.0 |
| AudioStock | CC0 |
| AudioTime | CC BY 4.0 |
| Auto-ACD | CC0 |
| BATON | CC BY 4.0, MIT |
| BBC Sound Effects | CC BY 4.0, RemArc |
| BigSoundBank | CC0 |
| CAPTDURE | CC BY-NC-SA 4.0 |
| CHiME-Home | CC BY-NC-SA 3.0 |
| Clotho | CC BY, CC BY-NC |
| Clotho-Detail | BSD 3-clause, CC BY |
| ClothoAQA | CC BY, CC BY-NC, MIT |
| ClothoChatGPTMixup | Apache, CC BY, CC BY-NC |
| ClothoEntailment | CC BY, MIT |
| ClothoMoment | CC BY, CC BY-NC, CC Sampling+, CC0 |
| ClothoV2GPT | CC BY 4.0, CC BY-NC |
| CompA-R | Apache 2.0, CC BY 4.0 |
| DAQA | CC BY 4.0 |
| DCASE-LASS | CC BY 4.0 |
| EpidemicSoundEffects | CC BY-NC-ND 4.0 |
| ESC50 | CC BY-NC 3.0 |
| EzAudioCaps | CC BY 4.0, MIT |
| FAVDBench Audio | CC BY-NC 4.0 |
| FindSounds | |
| Free To Use Sounds | CC BY 4.0, CC0 1.0 |
| Freesound | CC BY, CC BY-NC, CC Sampling+, CC0 |
| FSD50k Title+Desc | CC BY, CC BY-NC, CC Sampling+, CC0 |
| LAION-630k | CC BY 3.0, CC BY 4.0, CC BY-NC 3.0, CC BY-NC 4.0, CC Sampling+, CC0 |
| MACS | CC BY-NC |
| mClothoAQA | CC BY, CC BY-NC, CC0 1.0, MIT |
| MIMII-Change | CC BY-NC-SA 4.0 |
| MULTIS | BSD 3-clause, CC BY, CC BY 4.0, CC BY-NC |
| NLAR | |
| NonSpeech7k | CC BY-NC-SA 4.0 |
| Paramount (ODEON) | CC BY 4.0 |
| PicoAudio | Apache 2.0 |
| ProSoundEffects | ProSoundEffects License |
| Revised-Clotho | CC BY 4.0 |
| RichDetailAudioTextSimulation | |
| SAM-S | |
| SonnissGameEffects | CC0 1.0 |
| Sonyc-UST | CC BY 4.0 |
| Sound-VECaps$_A$: | CC BY 4.0 |
| SoundBible | CC BY 3.0 |
| SoundDescs | Apache, RemArc |
| SoundingEarth | CC BY 3.0, CC BY-NC-ND 3.0, CC BY-NC-SA 3.0, CC BY-ND 3.0, CC BY-SA, CC PD-Mark 1.0 |
| SoundJay | CC BY-NC-ND 4.0 |
| SoundSCaper | CC BY, CC BY-NC, CC BY-NC-SA 4.0, CC Sampling+, CC0 |
| SpatialSoundQA | CC BY 4.0, MIT |
| Syncaps | CC BY-NC 3.0, CC BY-NC 4.0 |
| TextToAudioGrounding | CC BY 4.0, MIT |
| VGGSound | CC BY 4.0 |
| VGGSound-Caption | Apache, CC BY 4.0 |
| WavCaps | CC BY 4.0 |
| WavText5K | CC BY 3.0, CC0 1.0, MIT |
| WeSoundEffects | CC Sampling+ |
| Zapsplat | CC BY-NC 4.0 |
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